DATA ANAYST TARINER

Job Description

Job Title: Data Analytics Trainer Location: Hyderabad, Telangana Experience Required: Minimum 2 years in data analytics and instructional roles Employment Type: Full-Time, Onsite Job Summary: We are looking for a passionate and experienced Data Analytics Trainer to join our Hyderabad-based team. The ideal candidate will possess strong technical expertise in analytics tools and techniques, coupled with a genuine interest in mentoring and upskilling future data professionals. You will be responsible for delivering in-person, hands-on training sessions that empower learners to analyze, visualize, and interpret real-world data for business decision-making. Key Responsibilities: Curriculum Development: Design, develop, and regularly update training modules covering Python (Pandas, NumPy) , SQL , Excel , Power BI/Tableau , statistical analysis , and business problem-solving techniques . Training Delivery: Conduct interactive classroom and lab sessions using live demos , hands-on exercises , and real-world datasets to ensure practical, industry-relevant learning. Project Mentorship: Guide learners through capstone projects and case studies, helping them build strong analytics portfolios and apply best practices in data analysis and reporting. Assessment & Feedback: Evaluate students' progress through quizzes, assignments, and projects. Provide personalized, constructive feedback and career preparation guidance. Content Updating: Regularly refresh course content in line with emerging tools (ML basics, R, cloud analytics) , analytics trends, and industry needs. Lab & Technical Support: Set up and maintain analytics environments, troubleshoot technical issues, and coordinate with internal teams to ensure smooth, efficient training delivery. Required Qualifications & Skills: Bachelor s or Master s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Minimum 2 years of hands-on experience in data analytics or technical training roles. Technical Expertise In: Data Tools: Python (Pandas, NumPy), SQL, Excel Business Intelligence Tools: Power BI, Tableau Statistical Analysis & Data Visualization: Inferential statistics, exploratory data analysis (EDA), dashboard creation, and storytelling Strong communication, presentation, and mentoring skills, with the ability to simplify complex concepts. Familiarity with business-case thinking and application of data analytics in real-world scenarios.